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Introduction to Deep Learning

The goal of this course is to give learners basic understanding of modern neural networks and their applications in computer vision and natural language understanding. The course starts with a recap of linear models and discussion of stochastic optimization methods that are crucial for training deep neural networks. Learners will study all popular building blocks of neural networks including fully connected layers, convolutional and recurrent layers.

Created by National Research University Higher School of Economics


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What you’ll learn


From this educational resource you will acquire the compentencies sought from employers these days. The most in demand technique in the educational opportunity that is often mentioned by employers is Data Modeling. The most relevant tool is Python.

Who will benefit?


Mapping the description from this educational opportunity with nearly 10,000 data-related job maps, we find that those interested in Data Scientist roles have the most to gain.